Feb. 20, 2024, 5:48 a.m. | Alistair Francis, Mikolaj Czerkawski

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.12095v1 Announce Type: new
Abstract: Deep learning models are increasingly data-hungry, requiring significant resources to collect and compile the datasets needed to train them, with Earth Observation (EO) models being no exception. However, the landscape of datasets in EO is relatively atomised, with interoperability made difficult by diverse formats and data structures. If ever larger datasets are to be built, and duplication of effort minimised, then a shared framework that allows users to combine and access multiple datasets is needed. …

arxiv cs.cv cs.db datasets earth earth observation major observation tom type

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